Paper
28 March 2012 Acoustic emission (AE) source localization using extended Kalman filter (EKF)
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Abstract
This paper presents a method for Acoustic Emission (AE) source localization in isotropic plate-like structures based on the Extended Kalman Filter (EKF). The accuracy of the traditional triangulation methods depends on the time of flight (TOF) measurements and on the group velocity assumption so uncertainties in both should be taken into account and filtered out. An algorithm based on the Extended Kalman Filter (EKF), capable of filtering out these uncertainties, has been developed for the estimation: 1) the AE source location and 2) the wave velocity. Experimental tests have been carried out on an aluminum plate to show accuracy and robustness of the proposed approach.
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Ehsan Dehghan Niri, Salvatore Salamone, and Puneet Singla "Acoustic emission (AE) source localization using extended Kalman filter (EKF)", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 834804 (28 March 2012); https://doi.org/10.1117/12.914848
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Sensors

Filtering (signal processing)

Interference (communication)

Source localization

Acoustic emission

Monte Carlo methods

Signal to noise ratio

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